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Synthetic biology is an interdisciplinary science that involves using principles from disciplines such as engineering, molecular biology, cell biology, and systems biology. It involves remodeling existing organisms from nature or constructing completely new synthetic organisms for applications such as protein or enzyme production, bioremediation, value-added macromolecule production, and the addition of desirable traits to crops, to name a few.
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Structural biology computing: Lessons for the biomedical research sciences.

Andrew Morin1, Piotr Sliz

  • 1Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA, 02115.

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Structural biology uses computational methods to determine molecular structures. Advances in computing have been crucial for its growth and widespread application in biomedical sciences.

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Area of Science:

  • Biomedical Sciences
  • Structural Biology
  • Computational Biology

Background:

  • Structural biology aims to determine molecular and atomic structures of biological macromolecules.
  • It operates at the intersection of biophysics, biochemistry, and molecular biology.
  • Advancements in computational tools and techniques have been critical for the field's development.

Purpose of the Study:

  • To highlight the integral role of computational research methods in structural biology.
  • To underscore how computing has enabled structural biology to become a foundational field.
  • To offer insights from structural biology's computational journey for other biomedical research areas.

Main Methods:

  • Review of the historical adoption and development of computational methods in structural biology.
  • Analysis of the impact of computing advancements on the field's growth and accessibility.
  • Examination of lessons learned from structural biology's computational successes and failures.

Main Results:

  • Computational methods are essential for elucidating macromolecular structures.
  • Computing advances have transformed structural biology from an exclusive pursuit to a foundational discipline.
  • The field's computational trajectory offers valuable guidance for other biomedical research domains.

Conclusions:

  • The progress of structural biology is inextricably linked to computational advancements.
  • Lessons from structural biology's computational journey can inform and accelerate progress in other biomedical fields.
  • Embracing and learning from computational research methodologies is key for future biomedical innovation.